Auf einen Blick
- Aufgaben: Shape the future of data management by building and maintaining data pipelines at Zalando.
- Arbeitgeber: Join Zalando, a leading fashion platform committed to inclusivity and innovation.
- Mitarbeitervorteile: Enjoy 40% off products, hybrid work options, and 27 vacation days to start.
- Warum dieser Job: Be part of a talented team driving data-driven decisions and positive customer impact.
- Gewünschte Qualifikationen: 5+ years in master data management with proficiency in Informatica tools and SQL.
- Andere Informationen: Zalando values diversity and encourages applicants from all backgrounds.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
As a Senior Informatica Data Engineer in the Data and Process Engineering department, you are part of the central Zalando Technology Foundation (ZTF), which supports a variety of Zalando business areas. You contribute to building and maintaining the pipelines and datasets that enable data-driven decision making and operations within Zalando. You will have the chance to shape the future of data management here at Zalando. You will collect, analyse, profile, and understand data and data structures in current and future systems together with other Data Engineers from different functional areas. Join our talented team of Data Engineers and contribute to the ongoing success of our Data and Process Engineering department!
INCLUSIVE BY DESIGN
At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring – we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
- Manage and evolve MDM solutions and drive future upgrades.
- Own and shape the future of Informatica tooling in collaboration with the team, Principal Engineers and Senior Leadership.
- Drive changes to the data models and steer the adoption of master data across business units.
- Align with a broad range of stakeholders from partner-facing business units, implement business rules, propagate data standardization, and enable data enrichment and consolidation (match & merge).
- Collaborate with ambitious Product Managers, Data Scientists, Engineers and Analysts across Zalando to create positive customer impact together.
- Define our team’s objective, and continuously improve the self-organization of the team.
- Act as a mentor to the team members and help grow junior and mid-level members of the team.
YOUR PROFILE
- You have 5+ years of experience in implementing and configuring master data management solutions.
- You are proficient in Informatica MDM Hub, Informatica Data Quality (IDQ), and related Informatica tools and technologies.
- You have at least 1 year of experience in Informatica Data Management Cloud (IDMC).
- Experience in SQL and database management systems.
- You have a strong understanding of data modelling principles, data integration concepts, and master data management best practices.
- Hands-on experience with data profiling, cleansing, and transformations.
- Experience with data governance frameworks, data stewardship workflows, and data quality metrics.
- Excellent verbal and written communication skills in English and the ability to effectively collaborate with cross-functional teams and stakeholders.
- Experience in Java or Python is considered an advantage.
If you think you have what it takes, we encourage you to apply even if you don’t meet every single requirement. You may just be the right candidate for this or other roles!
OUR OFFER
Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer:
- Employee shares program.
- 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners.
- 2 paid volunteering days a year.
- Hybrid working model with 60% remote per week, actual practice is up to each team to best support their collaboration.
- Work from abroad for up to 30 working days a year.
- 27 days of vacation a year to start.
- Relocation assistance available (subject to prior agreement).
- Family services, including counseling and support.
- Health and wellbeing options (including Gympass).
- Mental health support and coaching are available.
Please note that all applications from this job page must be completed using the online form – we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).
In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.
If you have any questions about our recruitment process, please take a look at our FAQ page.
#J-18808-Ljbffr
Senior Data Engineer - Informatica (all genders) Arbeitgeber: Zalando GmbH
Kontaktperson:
Zalando GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer - Informatica (all genders)
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, especially Informatica MDM Hub and Informatica Data Quality. Having hands-on experience or relevant projects to discuss can set you apart during the interview.
✨Tip Number 2
Highlight your experience in data governance frameworks and data quality metrics. Be prepared to share examples of how you've implemented these in past roles, as this aligns closely with what Zalando is looking for.
✨Tip Number 3
Showcase your collaboration skills by discussing previous experiences where you worked with cross-functional teams. Zalando values teamwork, so demonstrating your ability to communicate effectively with diverse stakeholders will be beneficial.
✨Tip Number 4
Prepare to discuss your approach to mentoring and developing junior team members. Since the role involves acting as a mentor, sharing your philosophy on team growth and self-organization can resonate well with the hiring team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer - Informatica (all genders)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Engineer position at Zalando. Understand the key responsibilities and required skills, especially around Informatica tools and data management principles.
Tailor Your CV: Customize your CV to highlight your experience with Informatica MDM Hub, SQL, and data governance frameworks. Use specific examples from your past work that demonstrate your proficiency in these areas.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and Zalando's inclusive culture. Mention how you can contribute to the team and the company's goals.
Showcase Communication Skills: Since excellent verbal and written communication skills are essential, ensure your application materials are clear, concise, and free of errors. Consider including examples of successful collaboration with cross-functional teams.
Wie du dich auf ein Vorstellungsgespräch bei Zalando GmbH vorbereitest
✨Showcase Your Experience with MDM Solutions
Be prepared to discuss your 5+ years of experience in implementing and configuring master data management solutions. Highlight specific projects where you successfully managed MDM tools, especially Informatica MDM Hub and IDQ.
✨Demonstrate Your Technical Skills
Make sure to showcase your proficiency in Informatica tools and technologies, as well as your experience with SQL and database management systems. Be ready to provide examples of how you've used these skills in past roles.
✨Emphasize Collaboration and Communication
Since the role involves working with cross-functional teams, emphasize your excellent verbal and written communication skills. Share examples of how you've effectively collaborated with Product Managers, Data Scientists, and other stakeholders.
✨Prepare for Questions on Data Governance
Expect questions related to data governance frameworks and data quality metrics. Be ready to discuss your hands-on experience with data profiling, cleansing, and transformations, and how these practices contribute to overall data quality.